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:
En el turno de réplicas, el portavoz socialista en la comisión, Rafael Estrella, opinó que ensanchar las fronteras de la UE "sin fortalecer la unión política conduce al fracaso de esa ampliación".
Postion	Tokenization
1	En
2	el
3	turno
4	de
5	réplicas
6	,
7	el
8	portavoz
9	socialista
10	en
11	la
12	comisión
13	,
14	Rafael
15	Estrella
16	,
17	opinó
18	que
19	ensanchar
20	las
21	fronteras
22	de
23	la
24	UE
25	"
26	sin
27	fortalecer
28	la
29	unión
30	política
31	conduce
32	al
33	fracaso
34	de
35	esa
36	ampliación
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	turno	NOUN	17	obl
4	de	ADP	5	case
5	réplicas	NOUN	3	nmod
6	,	PUNCT	3	punct
7	el	DET	8	det
8	portavoz	NOUN	17	nsubj
9	socialista	ADJ	8	amod
10	en	ADP	12	case
11	la	DET	12	det
12	comisión	NOUN	8	nmod
13	,	PUNCT	14	punct
14	Rafael	PROPN	8	appos
15	Estrella	PROPN	14	flat
16	,	PUNCT	14	punct
17	opinó	VERB	0	root
18	que	SCONJ	31	mark
19	ensanchar	VERB	31	csubj
20	las	DET	21	det
21	fronteras	NOUN	19	obj
22	de	ADP	24	case
23	la	DET	24	det
24	UE	PROPN	21	nmod
25	"	PUNCT	19	punct
26	sin	ADP	27	mark
27	fortalecer	VERB	19	advcl
28	la	DET	29	det
29	unión	NOUN	27	obj
30	política	ADJ	29	amod
31	conduce	VERB	17	ccomp
32	al	ADP	33	case
33	fracaso	NOUN	31	obj
34	de	ADP	36	case
35	esa	DET	36	det
36	ampliación	NOUN	33	nmod
37	"	PUNCT	31	punct
38	.	PUNCT	17	punct