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 intentó revitalizar su ataque con la salida de Carew pero fue el Numancia el que, a pesar de jugar en inferioridad numérica, llevó el peso del partido.
Postion	Tokenization
1	El
2	Valencia
3	intentó
4	revitalizar
5	su
6	ataque
7	con
8	la
9	salida
10	de
11	Carew
12	pero
13	fue
14	el
15	Numancia
16	el
17	que
18	,
19	a
20	pesar
21	de
22	jugar
23	en
24	inferioridad
25	numérica
26	,
27	llevó
28	el
29	peso
30	del
31	partido
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Valencia	PROPN	3	nsubj
3	intentó	VERB	0	root
4	revitalizar	VERB	3	xcomp
5	su	DET	6	det
6	ataque	NOUN	4	obj
7	con	ADP	9	case
8	la	DET	9	det
9	salida	NOUN	4	obl
10	de	ADP	11	case
11	Carew	PROPN	9	nmod
12	pero	CCONJ	13	cc
13	fue	AUX	3	conj
14	el	DET	15	det
15	Numancia	PROPN	13	nsubj
16	el	DET	27	det
17	que	PRON	27	nsubj
18	,	PUNCT	22	punct
19	a	ADP	22	mark
20	pesar	NOUN	19	fixed
21	de	ADP	19	fixed
22	jugar	VERB	27	advcl
23	en	ADP	24	case
24	inferioridad	NOUN	22	obl
25	numérica	ADJ	24	amod
26	,	PUNCT	22	punct
27	llevó	VERB	13	ccomp
28	el	DET	29	det
29	peso	NOUN	27	obj
30	del	ADP	31	case
31	partido	NOUN	29	nmod
32	.	PUNCT	3	punct