As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
La película contó con la participación de todos los habitantes del pueblo y ayudas económicas del programa europeo Media, el Ministerio de Cultura, TVE y Vía Digital.
Postion	Tokenization
1	La
2	película
3	contó
4	con
5	la
6	participación
7	de
8	todos
9	los
10	habitantes
11	del
12	pueblo
13	y
14	ayudas
15	económicas
16	del
17	programa
18	europeo
19	Media
20	,
21	el
22	Ministerio
23	de
24	Cultura
25	,
26	TVE
27	y
28	Vía
29	Digital
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	película	NOUN	3	nsubj
3	contó	VERB	0	root
4	con	ADP	6	case
5	la	DET	6	det
6	participación	NOUN	3	obj
7	de	ADP	10	case
8	todos	DET	9	det
9	los	DET	10	det
10	habitantes	NOUN	6	nmod
11	del	ADP	12	case
12	pueblo	NOUN	10	nmod
13	y	CCONJ	14	cc
14	ayudas	NOUN	6	conj
15	económicas	ADJ	14	amod
16	del	ADP	17	case
17	programa	NOUN	14	nmod
18	europeo	ADJ	17	amod
19	Media	PROPN	17	appos
20	,	PUNCT	22	punct
21	el	DET	22	det
22	Ministerio	PROPN	17	appos
23	de	ADP	24	case
24	Cultura	PROPN	22	flat
25	,	PUNCT	26	punct
26	TVE	PROPN	17	appos
27	y	CCONJ	28	cc
28	Vía	PROPN	17	conj
29	Digital	PROPN	28	flat
30	.	PUNCT	3	punct