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 Nasdaq, en el que negocian la mayor parte de las firmas de nuevas tecnologías, ordenadores e Internet, escaló 33,16 puntos, o un 0,79 por ciento, a un nuevo récord de 4.244,14 puntos.
Postion	Tokenization
1	El
2	Nasdaq
3	,
4	en
5	el
6	que
7	negocian
8	la
9	mayor
10	parte
11	de
12	las
13	firmas
14	de
15	nuevas
16	tecnologías
17	,
18	ordenadores
19	e
20	Internet
21	,
22	escaló
23	33,16
24	puntos
25	,
26	o
27	un
28	0,79
29	por
30	ciento
31	,
32	a
33	un
34	nuevo
35	récord
36	de
37	4.244,14
38	puntos
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Nasdaq	PROPN	22	nsubj
3	,	PUNCT	7	punct
4	en	ADP	6	case
5	el	DET	6	det
6	que	PRON	7	obl
7	negocian	VERB	2	acl
8	la	DET	10	det
9	mayor	ADJ	10	amod
10	parte	NOUN	13	nmod
11	de	ADP	10	case
12	las	DET	10	det
13	firmas	NOUN	7	nsubj
14	de	ADP	16	case
15	nuevas	ADJ	16	amod
16	tecnologías	NOUN	13	nmod
17	,	PUNCT	18	punct
18	ordenadores	NOUN	16	conj
19	e	CCONJ	20	cc
20	Internet	PROPN	16	conj
21	,	PUNCT	7	punct
22	escaló	VERB	0	root
23	33,16	NUM	24	nummod
24	puntos	NOUN	22	obj
25	,	PUNCT	28	punct
26	o	CCONJ	28	cc
27	un	DET	28	det
28	0,79	NUM	24	conj
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	,	PUNCT	35	punct
32	a	ADP	35	case
33	un	DET	35	det
34	nuevo	ADJ	35	amod
35	récord	NOUN	22	obl
36	de	ADP	38	case
37	4.244,14	NUM	38	nummod
38	puntos	NOUN	35	nmod
39	.	PUNCT	22	punct