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:
Al empate siguió algo de vértigo con jugadas salientes en las que Saviola para el River Plate y Delgado para el Boca Juniors a punto estuvieron de poner en ventaja a sus equipos.
Postion	Tokenization
1	Al
2	empate
3	siguió
4	algo
5	de
6	vértigo
7	con
8	jugadas
9	salientes
10	en
11	las
12	que
13	Saviola
14	para
15	el
16	River
17	Plate
18	y
19	Delgado
20	para
21	el
22	Boca
23	Juniors
24	a
25	punto
26	estuvieron
27	de
28	poner
29	en
30	ventaja
31	a
32	sus
33	equipos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	case
2	empate	NOUN	3	obl
3	siguió	VERB	0	root
4	algo	PRON	3	nsubj
5	de	ADP	6	case
6	vértigo	NOUN	4	nmod
7	con	ADP	8	case
8	jugadas	NOUN	4	nmod
9	salientes	ADJ	8	amod
10	en	ADP	12	case
11	las	DET	12	det
12	que	PRON	25	obl
13	Saviola	PROPN	25	nsubj
14	para	ADP	16	case
15	el	DET	16	det
16	River	PROPN	13	nmod
17	Plate	PROPN	16	flat
18	y	CCONJ	19	cc
19	Delgado	PROPN	13	conj
20	para	ADP	22	case
21	el	DET	22	det
22	Boca	PROPN	19	nmod
23	Juniors	PROPN	22	flat
24	a	ADP	25	case
25	punto	NOUN	8	acl
26	estuvieron	AUX	25	cop
27	de	ADP	28	mark
28	poner	VERB	25	xcomp
29	en	ADP	30	case
30	ventaja	NOUN	28	obl
31	a	ADP	33	case
32	sus	DET	33	det
33	equipos	NOUN	28	obj
34	.	PUNCT	3	punct