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 Gobierno argentino depositó ayer el dinero comprometido para el pago de salario a los empleados de Aerolíneas Argentinas, lo que puede abrir una nueva vía de negociación para solucionar el conflicto de esta compañía.
Postion	Tokenization
1	El
2	Gobierno
3	argentino
4	depositó
5	ayer
6	el
7	dinero
8	comprometido
9	para
10	el
11	pago
12	de
13	salario
14	a
15	los
16	empleados
17	de
18	Aerolíneas
19	Argentinas
20	,
21	lo
22	que
23	puede
24	abrir
25	una
26	nueva
27	vía
28	de
29	negociación
30	para
31	solucionar
32	el
33	conflicto
34	de
35	esta
36	compañía
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	4	nsubj
3	argentino	ADJ	2	amod
4	depositó	VERB	0	root
5	ayer	ADV	4	advmod
6	el	DET	7	det
7	dinero	NOUN	4	obj
8	comprometido	ADJ	7	amod
9	para	ADP	11	case
10	el	DET	11	det
11	pago	NOUN	8	obl
12	de	ADP	13	case
13	salario	NOUN	11	nmod
14	a	ADP	16	case
15	los	DET	16	det
16	empleados	NOUN	11	nmod
17	de	ADP	18	case
18	Aerolíneas	PROPN	16	nmod
19	Argentinas	PROPN	18	flat
20	,	PUNCT	24	punct
21	lo	PRON	24	det
22	que	PRON	24	nsubj
23	puede	AUX	24	aux
24	abrir	VERB	4	advcl
25	una	DET	27	det
26	nueva	ADJ	27	amod
27	vía	NOUN	24	obj
28	de	ADP	29	case
29	negociación	NOUN	27	nmod
30	para	ADP	31	mark
31	solucionar	VERB	27	acl
32	el	DET	33	det
33	conflicto	NOUN	31	obj
34	de	ADP	36	case
35	esta	DET	36	det
36	compañía	NOUN	33	nmod
37	.	PUNCT	4	punct