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:
Valcárcel y Aznar coincidieron también en la necesidad de una "inminente reforma" de la Ley de Extranjería para lograr "una mayor integración" social de los trabajadores inmigrantes.
Postion	Tokenization
1	Valcárcel
2	y
3	Aznar
4	coincidieron
5	también
6	en
7	la
8	necesidad
9	de
10	una
11	"
12	inminente
13	reforma
14	"
15	de
16	la
17	Ley
18	de
19	Extranjería
20	para
21	lograr
22	"
23	una
24	mayor
25	integración
26	"
27	social
28	de
29	los
30	trabajadores
31	inmigrantes
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Valcárcel	PROPN	4	nsubj
2	y	CCONJ	3	cc
3	Aznar	PROPN	1	conj
4	coincidieron	VERB	0	root
5	también	ADV	4	advmod
6	en	ADP	8	case
7	la	DET	8	det
8	necesidad	NOUN	4	obj
9	de	ADP	13	case
10	una	DET	13	det
11	"	PUNCT	13	punct
12	inminente	ADJ	13	amod
13	reforma	NOUN	8	nmod
14	"	PUNCT	13	punct
15	de	ADP	17	case
16	la	DET	17	det
17	Ley	PROPN	13	nmod
18	de	ADP	19	case
19	Extranjería	PROPN	17	flat
20	para	ADP	21	mark
21	lograr	VERB	13	acl
22	"	PUNCT	25	punct
23	una	DET	25	det
24	mayor	ADJ	25	amod
25	integración	NOUN	21	obj
26	"	PUNCT	25	punct
27	social	ADJ	25	amod
28	de	ADP	30	case
29	los	DET	30	det
30	trabajadores	NOUN	25	nmod
31	inmigrantes	ADJ	30	amod
32	.	PUNCT	4	punct