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:
También sería indispensable continuar reduciendo el desempleo, que por primera vez en ocho años acaba de bajar del 10%, y un acuerdo con los 275.000 funcionarios, que amenazan con un enfrentamiento por temas laborales.
Postion	Tokenization
1	También
2	sería
3	indispensable
4	continuar
5	reduciendo
6	el
7	desempleo
8	,
9	que
10	por
11	primera
12	vez
13	en
14	ocho
15	años
16	acaba
17	de
18	bajar
19	del
20	10%
21	,
22	y
23	un
24	acuerdo
25	con
26	los
27	275.000
28	funcionarios
29	,
30	que
31	amenazan
32	con
33	un
34	enfrentamiento
35	por
36	temas
37	laborales
38	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	3	advmod
2	sería	AUX	3	cop
3	indispensable	ADJ	0	root
4	continuar	VERB	3	csubj
5	reduciendo	VERB	4	xcomp
6	el	DET	7	det
7	desempleo	NOUN	5	obj
8	,	PUNCT	16	punct
9	que	PRON	16	nsubj
10	por	ADP	12	case
11	primera	ADJ	12	amod
12	vez	NOUN	16	obl
13	en	ADP	15	case
14	ocho	NUM	15	nummod
15	años	NOUN	12	nmod
16	acaba	VERB	7	acl
17	de	ADP	18	mark
18	bajar	VERB	16	xcomp
19	del	ADP	20	case
20	10%	SYM	16	obl
21	,	PUNCT	24	punct
22	y	CCONJ	24	cc
23	un	DET	24	det
24	acuerdo	NOUN	5	conj
25	con	ADP	28	case
26	los	DET	27	det
27	275.000	NUM	28	nummod
28	funcionarios	NOUN	24	nmod
29	,	PUNCT	31	punct
30	que	PRON	31	nsubj
31	amenazan	VERB	28	acl
32	con	ADP	34	case
33	un	DET	34	det
34	enfrentamiento	NOUN	31	obj
35	por	ADP	36	case
36	temas	NOUN	34	nmod
37	laborales	ADJ	36	amod
38	.	PUNCT	3	punct