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:
En el Mercado de Hacienda de Liniers, en la zona sur de Buenos Aires y el mayor del país, salieron hoy a subasta unas 600 cabezas de ganado vacuno frente al promedio de 10.000 que suelen comerciarse normalmente.
Postion	Tokenization
1	En
2	el
3	Mercado
4	de
5	Hacienda
6	de
7	Liniers
8	,
9	en
10	la
11	zona
12	sur
13	de
14	Buenos
15	Aires
16	y
17	el
18	mayor
19	del
20	país
21	,
22	salieron
23	hoy
24	a
25	subasta
26	unas
27	600
28	cabezas
29	de
30	ganado
31	vacuno
32	frente
33	al
34	promedio
35	de
36	10.000
37	que
38	suelen
39	comerciarse
40	comerciar
41	se
42	normalmente
43	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	Mercado	PROPN	22	obl
4	de	ADP	5	case
5	Hacienda	PROPN	3	flat
6	de	ADP	7	case
7	Liniers	PROPN	3	nmod
8	,	PUNCT	11	punct
9	en	ADP	11	case
10	la	DET	11	det
11	zona	NOUN	3	appos
12	sur	ADJ	11	amod
13	de	ADP	14	case
14	Buenos	PROPN	11	nmod
15	Aires	PROPN	14	flat
16	y	CCONJ	18	cc
17	el	DET	18	det
18	mayor	ADJ	11	conj
19	del	ADP	20	case
20	país	NOUN	18	nmod
21	,	PUNCT	11	punct
22	salieron	VERB	0	root
23	hoy	ADV	22	advmod
24	a	ADP	25	case
25	subasta	NOUN	22	obl
26	unas	PRON	27	nmod
27	600	NUM	28	nummod
28	cabezas	NOUN	22	nsubj
29	de	ADP	30	case
30	ganado	NOUN	28	nmod
31	vacuno	ADJ	30	amod
32	frente	NOUN	34	case
33	al	ADP	32	fixed
34	promedio	NOUN	22	obl
35	de	ADP	36	case
36	10.000	NUM	34	nummod
37	que	PRON	38	nsubj
38	suelen	VERB	36	advcl
39	comerciarse	_	None	_
40	comerciar	VERB	38	xcomp
41	se	PRON	39	expl:pass
42	normalmente	ADV	38	advmod
43	.	PUNCT	22	punct