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 Valencia se asentó sobre el césped del estadio Artemio Franchi y dio la sensación de que en cualquier momento podría reponerse del gol encajado.
Postion	Tokenization
1	El
2	Valencia
3	se
4	asentó
5	sobre
6	el
7	césped
8	del
9	estadio
10	Artemio
11	Franchi
12	y
13	dio
14	la
15	sensación
16	de
17	que
18	en
19	cualquier
20	momento
21	podría
22	reponerse
23	reponer
24	se
25	del
26	gol
27	encajado
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Valencia	PROPN	4	nsubj
3	se	PRON	4	expl:pv
4	asentó	VERB	0	root
5	sobre	ADP	7	case
6	el	DET	7	det
7	césped	NOUN	4	obl
8	del	ADP	9	case
9	estadio	NOUN	7	nmod
10	Artemio	PROPN	9	appos
11	Franchi	PROPN	10	flat
12	y	CCONJ	13	cc
13	dio	VERB	4	conj
14	la	DET	15	det
15	sensación	NOUN	13	obj
16	de	ADP	22	mark
17	que	SCONJ	22	mark
18	en	ADP	20	case
19	cualquier	DET	20	det
20	momento	NOUN	22	obl
21	podría	AUX	22	aux
22	reponerse	_	None	_
23	reponer	VERB	15	acl
24	se	PRON	22	expl:pv
25	del	ADP	25	case
26	gol	NOUN	22	obl
27	encajado	ADJ	25	amod
28	.	PUNCT	4	punct