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:
También se ejercitó con el resto de sus compañeros el lateral izquierdo Nando, que tuvo que retirarse hace quince días frente al Badajoz debido a una molestia en el abductor mediano izquierdo.
Postion	Tokenization
1	También
2	se
3	ejercitó
4	con
5	el
6	resto
7	de
8	sus
9	compañeros
10	el
11	lateral
12	izquierdo
13	Nando
14	,
15	que
16	tuvo
17	que
18	retirarse
19	retirar
20	se
21	hace
22	quince
23	días
24	frente
25	al
26	Badajoz
27	debido
28	a
29	una
30	molestia
31	en
32	el
33	abductor
34	mediano
35	izquierdo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	3	advmod
2	se	PRON	3	expl:pv
3	ejercitó	VERB	0	root
4	con	ADP	9	case
5	el	DET	6	det
6	resto	NOUN	9	nmod
7	de	ADP	6	case
8	sus	DET	6	det
9	compañeros	NOUN	3	obl
10	el	DET	11	det
11	lateral	NOUN	3	nsubj
12	izquierdo	ADJ	11	amod
13	Nando	PROPN	11	appos
14	,	PUNCT	16	punct
15	que	PRON	18	nsubj
16	tuvo	VERB	11	acl
17	que	SCONJ	18	cc
18	retirarse	_	None	_
19	retirar	VERB	16	conj
20	se	PRON	18	expl:pv
21	hace	VERB	18	advcl
22	quince	NUM	22	nummod
23	días	NOUN	20	obj
24	frente	ADV	18	advmod
25	al	ADP	25	case
26	Badajoz	PROPN	23	obl
27	debido	ADJ	29	case
28	a	ADP	26	fixed
29	una	DET	29	det
30	molestia	NOUN	18	obl
31	en	ADP	32	case
32	el	DET	32	det
33	abductor	NOUN	29	nmod
34	mediano	ADJ	32	amod
35	izquierdo	ADJ	32	amod
36	.	PUNCT	3	punct