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:
Almodóvar quiso que el acto de ayer fuera el punto final ("necesito una vida normal") de una increíble carrera de éxitos para Todo sobre mi madre, que rodó en gran parte en Barcelona.
Postion	Tokenization
1	Almodóvar
2	quiso
3	que
4	el
5	acto
6	de
7	ayer
8	fuera
9	el
10	punto
11	final
12	(
13	"
14	necesito
15	una
16	vida
17	normal
18	"
19	)
20	de
21	una
22	increíble
23	carrera
24	de
25	éxitos
26	para
27	Todo
28	sobre
29	mi
30	madre
31	,
32	que
33	rodó
34	en
35	gran
36	parte
37	en
38	Barcelona
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Almodóvar	PROPN	2	nsubj
2	quiso	VERB	0	root
3	que	SCONJ	10	mark
4	el	DET	5	det
5	acto	NOUN	10	nsubj
6	de	ADP	7	case
7	ayer	NOUN	5	nmod
8	fuera	AUX	10	cop
9	el	DET	10	det
10	punto	NOUN	2	ccomp
11	final	ADJ	10	amod
12	(	PUNCT	14	punct
13	"	PUNCT	14	punct
14	necesito	VERB	10	parataxis
15	una	DET	16	det
16	vida	NOUN	14	obj
17	normal	ADJ	16	amod
18	"	PUNCT	14	punct
19	)	PUNCT	14	punct
20	de	ADP	23	case
21	una	DET	23	det
22	increíble	ADJ	23	amod
23	carrera	NOUN	10	nmod
24	de	ADP	25	case
25	éxitos	NOUN	23	nmod
26	para	ADP	29	case
27	Todo	DET	29	det
28	sobre	ADP	29	case
29	mi	PROPN	23	nmod
30	madre	PROPN	29	flat
31	,	PUNCT	33	punct
32	que	PRON	33	obj
33	rodó	VERB	27	acl
34	en	ADP	33	advmod
35	gran	ADJ	34	fixed
36	parte	NOUN	34	fixed
37	en	ADP	34	case
38	Barcelona	PROPN	34	nmod
39	.	PUNCT	2	punct