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, coproducida por Morena Films, Portozás Visión, Sogecine, Telemadrid y Televisión de Galicia, cuenta con un presupuesto de 517 millones de pesetas.
Postion	Tokenization
1	La
2	película
3	,
4	coproducida
5	por
6	Morena
7	Films
8	,
9	Portozás
10	Visión
11	,
12	Sogecine
13	,
14	Telemadrid
15	y
16	Televisión
17	de
18	Galicia
19	,
20	cuenta
21	con
22	un
23	presupuesto
24	de
25	517
26	millones
27	de
28	pesetas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	película	NOUN	20	nsubj
3	,	PUNCT	4	punct
4	coproducida	ADJ	2	amod
5	por	ADP	6	case
6	Morena	PROPN	4	obj
7	Films	PROPN	6	flat
8	,	PUNCT	9	punct
9	Portozás	PROPN	6	conj
10	Visión	PROPN	9	flat
11	,	PUNCT	12	punct
12	Sogecine	PROPN	6	conj
13	,	PUNCT	14	punct
14	Telemadrid	PROPN	6	conj
15	y	CCONJ	16	cc
16	Televisión	PROPN	6	conj
17	de	ADP	18	case
18	Galicia	PROPN	16	flat
19	,	PUNCT	4	punct
20	cuenta	VERB	0	root
21	con	ADP	23	case
22	un	DET	23	det
23	presupuesto	NOUN	20	obj
24	de	ADP	26	case
25	517	NUM	26	nummod
26	millones	NOUN	23	nmod
27	de	ADP	28	case
28	pesetas	NOUN	26	nmod
29	.	PUNCT	20	punct