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:
Resaltó también la coincidencia, en líneas generales, entre los gobiernos central y autonómico para mejorar la integración de los inmigrantes.
Postion	Tokenization
1	Resaltó
2	también
3	la
4	coincidencia
5	,
6	en
7	líneas
8	generales
9	,
10	entre
11	los
12	gobiernos
13	central
14	y
15	autonómico
16	para
17	mejorar
18	la
19	integración
20	de
21	los
22	inmigrantes
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Resaltó	VERB	0	root
2	también	ADV	1	advmod
3	la	DET	4	det
4	coincidencia	NOUN	1	obj
5	,	PUNCT	6	punct
6	en	ADP	4	advmod
7	líneas	NOUN	6	fixed
8	generales	NOUN	6	fixed
9	,	PUNCT	6	punct
10	entre	ADP	12	case
11	los	DET	12	det
12	gobiernos	NOUN	4	nmod
13	central	ADJ	12	amod
14	y	CCONJ	15	cc
15	autonómico	ADJ	13	conj
16	para	ADP	17	mark
17	mejorar	VERB	4	acl
18	la	DET	19	det
19	integración	NOUN	17	obj
20	de	ADP	22	case
21	los	DET	22	det
22	inmigrantes	NOUN	19	nmod
23	.	PUNCT	1	punct