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:
Los mercados de Nueva York cerraron la sesión de hoy, viernes, con tendencias opuestas en sus dos principales índices: el Dow Jones, que acabó a la baja y el Nasdaq, que anotó un nuevo máximo histórico.
Postion	Tokenization
1	Los
2	mercados
3	de
4	Nueva
5	York
6	cerraron
7	la
8	sesión
9	de
10	hoy
11	,
12	viernes
13	,
14	con
15	tendencias
16	opuestas
17	en
18	sus
19	dos
20	principales
21	índices
22	:
23	el
24	Dow
25	Jones
26	,
27	que
28	acabó
29	a
30	la
31	baja
32	y
33	el
34	Nasdaq
35	,
36	que
37	anotó
38	un
39	nuevo
40	máximo
41	histórico
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	mercados	NOUN	6	nsubj
3	de	ADP	4	case
4	Nueva	PROPN	2	nmod
5	York	PROPN	4	flat
6	cerraron	VERB	0	root
7	la	DET	8	det
8	sesión	NOUN	6	obj
9	de	ADP	10	case
10	hoy	ADV	8	advmod
11	,	PUNCT	12	punct
12	viernes	NOUN	10	obl
13	,	PUNCT	12	punct
14	con	ADP	15	case
15	tendencias	NOUN	6	obl
16	opuestas	ADJ	15	amod
17	en	ADP	21	case
18	sus	DET	21	det
19	dos	NUM	18	nummod
20	principales	ADJ	21	amod
21	índices	NOUN	6	obl
22	:	PUNCT	24	punct
23	el	DET	24	det
24	Dow	PROPN	21	appos
25	Jones	PROPN	24	flat
26	,	PUNCT	28	punct
27	que	PRON	28	nsubj
28	acabó	VERB	24	acl
29	a	ADP	31	case
30	la	DET	31	det
31	baja	NOUN	28	obj
32	y	CCONJ	34	cc
33	el	DET	34	det
34	Nasdaq	PROPN	24	conj
35	,	PUNCT	37	punct
36	que	PRON	37	nsubj
37	anotó	VERB	34	acl
38	un	DET	40	det
39	nuevo	ADJ	40	amod
40	máximo	ADJ	37	obj
41	histórico	ADJ	40	amod
42	.	PUNCT	6	punct