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 mejor eslogan: El del anuncio de sujetadores de Anna Kournikova, "sólo las bolas deben botar" que el streaker Mark Robbers se hizo escribir también en su pecho.
Postion	Tokenization
1	El
2	mejor
3	eslogan
4	:
5	El
6	del
7	anuncio
8	de
9	sujetadores
10	de
11	Anna
12	Kournikova
13	,
14	"
15	sólo
16	las
17	bolas
18	deben
19	botar
20	"
21	que
22	el
23	streaker
24	Mark
25	Robbers
26	se
27	hizo
28	escribir
29	también
30	en
31	su
32	pecho
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	mejor	ADJ	3	amod
3	eslogan	NOUN	0	root
4	:	PUNCT	27	punct
5	El	DET	28	det
6	del	ADP	7	case
7	anuncio	NOUN	27	obj
8	de	ADP	9	case
9	sujetadores	NOUN	7	nmod
10	de	ADP	11	case
11	Anna	PROPN	7	nmod
12	Kournikova	PROPN	11	flat
13	,	PUNCT	15	punct
14	"	PUNCT	15	punct
15	sólo	ADV	27	obj
16	las	DET	17	det
17	bolas	NOUN	15	compound
18	deben	NOUN	15	compound
19	botar	NOUN	15	compound
20	"	PUNCT	15	punct
21	que	SCONJ	27	mark
22	el	DET	23	det
23	streaker	NOUN	27	nsubj
24	Mark	PROPN	23	appos
25	Robbers	PROPN	24	flat
26	se	PRON	27	iobj
27	hizo	VERB	3	acl
28	escribir	VERB	27	xcomp
29	también	ADV	27	advmod
30	en	ADP	29	case
31	su	DET	32	det
32	pecho	NOUN	29	nmod
33	.	PUNCT	3	punct