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:
Esta propuesta es "insuficiente y lejana" a la realizada por los sindicatos, y que consiste en incrementar el salario en un 3,5% este año y un 3% en los tres siguientes.
Postion	Tokenization
1	Esta
2	propuesta
3	es
4	"
5	insuficiente
6	y
7	lejana
8	"
9	a
10	la
11	realizada
12	por
13	los
14	sindicatos
15	,
16	y
17	que
18	consiste
19	en
20	incrementar
21	el
22	salario
23	en
24	un
25	3,5%
26	este
27	año
28	y
29	un
30	3%
31	en
32	los
33	tres
34	siguientes
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	DET	2	det
2	propuesta	NOUN	5	nsubj
3	es	AUX	5	cop
4	"	PUNCT	5	punct
5	insuficiente	ADJ	0	root
6	y	CCONJ	7	cc
7	lejana	ADJ	5	conj
8	"	PUNCT	7	punct
9	a	ADP	11	case
10	la	DET	11	det
11	realizada	ADJ	7	amod
12	por	ADP	14	case
13	los	DET	14	det
14	sindicatos	NOUN	11	obj
15	,	PUNCT	18	punct
16	y	CCONJ	18	advmod
17	que	PRON	18	nsubj
18	consiste	VERB	11	advcl
19	en	ADP	20	mark
20	incrementar	VERB	18	xcomp
21	el	DET	22	det
22	salario	NOUN	20	obj
23	en	ADP	25	case
24	un	DET	25	det
25	3,5%	SYM	20	obl
26	este	DET	27	det
27	año	NOUN	20	obl
28	y	CCONJ	30	cc
29	un	DET	30	det
30	3%	SYM	20	conj
31	en	ADP	34	case
32	los	DET	34	det
33	tres	NUM	32	nummod
34	siguientes	ADJ	30	amod
35	.	PUNCT	5	punct