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:
El PSOE criticó que se haya elegido el poblado de La Barranquilla, en Vallecas, para implantar el primer centro y afirmó que debería haberse hecho un mapa con los lugares más indicados.
Postion	Tokenization
1	El
2	PSOE
3	criticó
4	que
5	se
6	haya
7	elegido
8	el
9	poblado
10	de
11	La
12	Barranquilla
13	,
14	en
15	Vallecas
16	,
17	para
18	implantar
19	el
20	primer
21	centro
22	y
23	afirmó
24	que
25	debería
26	haberse
27	haber
28	se
29	hecho
30	un
31	mapa
32	con
33	los
34	lugares
35	más
36	indicados
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	PSOE	PROPN	3	nsubj
3	criticó	VERB	0	root
4	que	SCONJ	7	mark
5	se	PRON	7	expl:pass
6	haya	AUX	7	aux
7	elegido	VERB	3	ccomp
8	el	DET	9	det
9	poblado	NOUN	7	nsubj
10	de	ADP	12	case
11	La	DET	12	det
12	Barranquilla	PROPN	9	nmod
13	,	PUNCT	15	punct
14	en	ADP	15	case
15	Vallecas	PROPN	9	nmod
16	,	PUNCT	15	punct
17	para	ADP	18	mark
18	implantar	VERB	7	advcl
19	el	DET	21	det
20	primer	ADJ	21	amod
21	centro	NOUN	18	obj
22	y	CCONJ	23	cc
23	afirmó	VERB	3	conj
24	que	SCONJ	28	mark
25	debería	AUX	28	aux
26	haberse	_	None	_
27	haber	AUX	28	aux
28	se	PRON	28	expl:pass
29	hecho	VERB	23	ccomp
30	un	DET	30	det
31	mapa	NOUN	28	nsubj
32	con	ADP	33	case
33	los	DET	33	det
34	lugares	NOUN	30	nmod
35	más	ADV	35	advmod
36	indicados	ADJ	33	amod
37	.	PUNCT	3	punct