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:
Tras su prometedor debut con Sé quién eres, Patricia Ferreira progresa en el cine de intriga con su segundo largometraje, El alquimista impaciente, presentado ayer en la sección competitiva del Festival de Cine Español.
Postion	Tokenization
1	Tras
2	su
3	prometedor
4	debut
5	con
6	Sé
7	quién
8	eres
9	,
10	Patricia
11	Ferreira
12	progresa
13	en
14	el
15	cine
16	de
17	intriga
18	con
19	su
20	segundo
21	largometraje
22	,
23	El
24	alquimista
25	impaciente
26	,
27	presentado
28	ayer
29	en
30	la
31	sección
32	competitiva
33	del
34	Festival
35	de
36	Cine
37	Español
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	4	case
2	su	DET	4	det
3	prometedor	ADJ	4	amod
4	debut	NOUN	12	obl
5	con	ADP	6	case
6	Sé	PROPN	4	nmod
7	quién	PROPN	6	flat
8	eres	PROPN	6	flat
9	,	PUNCT	4	punct
10	Patricia	PROPN	12	nsubj
11	Ferreira	PROPN	10	flat
12	progresa	VERB	0	root
13	en	ADP	15	case
14	el	DET	15	det
15	cine	NOUN	12	obl
16	de	ADP	17	case
17	intriga	NOUN	15	nmod
18	con	ADP	21	case
19	su	DET	21	det
20	segundo	ADJ	21	amod
21	largometraje	NOUN	12	obl
22	,	PUNCT	23	punct
23	El	DET	24	det
24	alquimista	PROPN	21	appos
25	impaciente	PROPN	24	flat
26	,	PUNCT	27	punct
27	presentado	ADJ	21	amod
28	ayer	ADV	27	advmod
29	en	ADP	31	case
30	la	DET	31	det
31	sección	NOUN	27	obl
32	competitiva	ADJ	31	amod
33	del	ADP	34	case
34	Festival	PROPN	31	nmod
35	de	ADP	36	case
36	Cine	PROPN	34	flat
37	Español	PROPN	36	flat
38	.	PUNCT	12	punct