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:
La salida de Guti del entrenamiento fue más una medida de precaución que otra cosa y se cuenta con su concurso el sábado en el estadio Santiago Bernabéu.
Postion	Tokenization
1	La
2	salida
3	de
4	Guti
5	del
6	entrenamiento
7	fue
8	más
9	una
10	medida
11	de
12	precaución
13	que
14	otra
15	cosa
16	y
17	se
18	cuenta
19	con
20	su
21	concurso
22	el
23	sábado
24	en
25	el
26	estadio
27	Santiago
28	Bernabéu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	salida	NOUN	10	nsubj
3	de	ADP	4	case
4	Guti	PROPN	2	nmod
5	del	ADP	6	case
6	entrenamiento	NOUN	2	nmod
7	fue	AUX	10	cop
8	más	ADV	10	advmod
9	una	DET	10	det
10	medida	NOUN	0	root
11	de	ADP	12	case
12	precaución	NOUN	10	nmod
13	que	SCONJ	15	mark
14	otra	DET	15	det
15	cosa	NOUN	10	nmod
16	y	CCONJ	18	cc
17	se	PRON	18	expl:impers
18	cuenta	VERB	10	conj
19	con	ADP	21	case
20	su	DET	21	det
21	concurso	NOUN	18	obj
22	el	DET	23	det
23	sábado	NOUN	18	obl
24	en	ADP	26	case
25	el	DET	26	det
26	estadio	NOUN	18	obl
27	Santiago	PROPN	26	appos
28	Bernabéu	PROPN	27	flat
29	.	PUNCT	10	punct