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 lateral Cristóbal se quedó en Barcelona a causa de una contractura en un abductor, que no le impedirá estar en el primer partido de Liga frente al Zaragoza, Según confirmó el doctor Salvador Oliveras.
Postion	Tokenization
1	El
2	lateral
3	Cristóbal
4	se
5	quedó
6	en
7	Barcelona
8	a
9	causa
10	de
11	una
12	contractura
13	en
14	un
15	abductor
16	,
17	que
18	no
19	le
20	impedirá
21	estar
22	en
23	el
24	primer
25	partido
26	de
27	Liga
28	frente
29	al
30	Zaragoza
31	,
32	Según
33	confirmó
34	el
35	doctor
36	Salvador
37	Oliveras
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	lateral	ADJ	5	nsubj
3	Cristóbal	PROPN	2	obj
4	se	PRON	5	expl:pv
5	quedó	VERB	0	root
6	en	ADP	7	case
7	Barcelona	PROPN	5	obl
8	a	ADP	12	case
9	causa	NOUN	8	fixed
10	de	ADP	8	fixed
11	una	DET	12	det
12	contractura	NOUN	5	obl
13	en	ADP	15	case
14	un	DET	15	det
15	abductor	NOUN	12	nmod
16	,	PUNCT	20	punct
17	que	PRON	20	nsubj
18	no	ADV	20	advmod
19	le	PRON	20	iobj
20	impedirá	VERB	12	acl
21	estar	VERB	20	xcomp
22	en	ADP	25	case
23	el	DET	25	det
24	primer	ADJ	25	amod
25	partido	NOUN	21	obl
26	de	ADP	27	case
27	Liga	PROPN	25	nmod
28	frente	NOUN	30	case
29	al	ADP	28	fixed
30	Zaragoza	PROPN	25	nmod
31	,	PUNCT	33	punct
32	Según	SCONJ	33	mark
33	confirmó	VERB	20	advcl
34	el	DET	35	det
35	doctor	NOUN	33	nsubj
36	Salvador	PROPN	35	appos
37	Oliveras	PROPN	36	flat
38	.	PUNCT	5	punct