You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movies_4
【Schema】
# Table: language_role
[
(role_id:INTEGER, Primary Key, Examples: [1, 2]),
(language_role:TEXT, Examples: [Original, Spoken])
]
# Table: country
[
(country_id:INTEGER, Primary Key, Examples: [128, 129, 130]),
(country_iso_code:TEXT, Examples: [AE, AF, AO]),
(country_name:TEXT, Examples: [United Arab Emirates, Afghanistan, Angola])
]
# Table: production_country
[
(movie_id:INTEGER, Examples: [5, 11, 12]),
(country_id:INTEGER, Examples: [214, 131, 152])
]
# Table: department
[
(department_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(department_name:TEXT, Examples: [Camera, Directing, Production])
]
# Table: movie_keywords
[
(movie_id:INTEGER, Examples: [5, 11, 12]),
(keyword_id:INTEGER, Examples: [612, 613, 616])
]
# Table: movie_company
[
(movie_id:INTEGER, Examples: [5, 11, 12]),
(company_id:INTEGER, Examples: [14, 59, 1])
]
# Table: language
[
(language_id:INTEGER, Primary Key, Examples: [24574, 24575, 24576]),
(language_code:TEXT, Examples: [en, sv, de]),
(language_name:TEXT, Examples: [English, svenska, Deutsch])
]
# Table: movie_cast
[
(movie_id:INTEGER, Examples: [285, 559, 767]),
(person_id:INTEGER, Examples: [85, 114, 116]),
(character_name:TEXT, Examples: [Captain Jack Sparrow, Will Turner, Elizabeth Swann]),
(gender_id:INTEGER, Examples: [2, 1, 0]),
(cast_order:INTEGER, Examples: [0, 1, 2])
]
# Table: movie_crew
[
(movie_id:INTEGER, Examples: [285, 559, 767]),
(person_id:INTEGER, Examples: [120, 1704, 770]),
(department_id:INTEGER, Examples: [1, 2, 3]),
(job:TEXT, Examples: [Director of Photography])
]
# Table: person
[
(person_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(person_name:TEXT, Examples: [George Lucas, Mark Hamill, Harrison Ford])
]
# Table: keyword
[
(keyword_id:INTEGER, Primary Key, Examples: [30, 65, 74]),
(keyword_name:TEXT, Examples: [individual, holiday, germany])
]
# Table: production_company
[
(company_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(company_name:TEXT, Examples: [Lucasfilm])
]
# Table: genre
[
(genre_id:INTEGER, Primary Key, Examples: [12, 14, 16]),
(genre_name:TEXT, Examples: [Adventure, Fantasy, Animation])
]
# Table: gender
[
(gender_id:INTEGER, Primary Key, Examples: [0, 1, 2]),
(gender:TEXT, Examples: [Unspecified, Female, Male])
]
# Table: movie_languages
[
(movie_id:INTEGER, Examples: [5, 11, 12]),
(language_id:INTEGER, Examples: [24574, 24575, 24576]),
(language_role_id:INTEGER, Examples: [2, 1])
]
# Table: movie
[
(movie_id:INTEGER, Primary Key, Examples: [5, 11, 12]),
(title:TEXT, Examples: [Four Rooms, Star Wars, Finding Nemo]),
(budget:INTEGER, Examples: [4000000, 11000000, 94000000]),
(homepage:TEXT),
(overview:TEXT),
(popularity:REAL, Examples: [22.87623, 126.393695, 85.688789]),
(release_date:DATE, Examples: [1995-12-09]),
(revenue:INTEGER, Examples: [4300000, 775398007, 940335536]),
(runtime:INTEGER, Examples: [98, 121, 100]),
(movie_status:TEXT, Examples: [Released, Rumored, Post Production]),
(tagline:TEXT),
(vote_average:REAL, Examples: [6.5, 8.1, 7.6]),
(vote_count:INTEGER, Examples: [530, 6624, 6122])
]
# Table: movie_genres
[
(movie_id:INTEGER, Examples: [5, 11, 12]),
(genre_id:INTEGER, Examples: [35, 80, 12])
]
【Foreign keys】
production_country.country_id=country.country_id
production_country.movie_id=movie.movie_id
movie_keywords.keyword_id=keyword.keyword_id
movie_keywords.movie_id=movie.movie_id
movie_company.company_id=production_company.company_id
movie_company.movie_id=movie.movie_id
movie_cast.gender_id=gender.gender_id
movie_cast.movie_id=movie.movie_id
movie_cast.person_id=person.person_id
movie_crew.department_id=department.department_id
movie_crew.movie_id=movie.movie_id
movie_crew.person_id=person.person_id
movie_languages.language_id=language.language_id
movie_languages.movie_id=movie.movie_id
movie_languages.language_role_id=language_role.role_id
movie_genres.genre_id=genre.genre_id
movie_genres.movie_id=movie.movie_id

    【Question】
    Find out the language ID of the movie with the highest popularity. highest popularity refers to max(popularity)

    【Evidence】
    highest popularity refers to max(popularity)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.language_id FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.popularity DESC LIMIT 1