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:
Peor pronóstico tiene Quique de Lucas, que puede estar dos semanas de baja por el esguince que se produjo ayer en el tobillo del pie izquierdo.
Postion	Tokenization
1	Peor
2	pronóstico
3	tiene
4	Quique
5	de
6	Lucas
7	,
8	que
9	puede
10	estar
11	dos
12	semanas
13	de
14	baja
15	por
16	el
17	esguince
18	que
19	se
20	produjo
21	ayer
22	en
23	el
24	tobillo
25	del
26	pie
27	izquierdo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Peor	ADJ	2	amod
2	pronóstico	ADJ	3	obj
3	tiene	VERB	0	root
4	Quique	PROPN	3	nsubj
5	de	ADP	6	case
6	Lucas	PROPN	4	flat
7	,	PUNCT	14	punct
8	que	PRON	14	nsubj
9	puede	AUX	14	aux
10	estar	AUX	14	cop
11	dos	NUM	12	nummod
12	semanas	NOUN	14	obl
13	de	ADP	14	case
14	baja	NOUN	4	acl
15	por	ADP	17	case
16	el	DET	17	det
17	esguince	NOUN	14	obl
18	que	PRON	20	nsubj
19	se	PRON	20	expl:pv
20	produjo	VERB	17	acl
21	ayer	ADV	20	advmod
22	en	ADP	24	case
23	el	DET	24	det
24	tobillo	NOUN	20	obl
25	del	ADP	26	case
26	pie	NOUN	24	nmod
27	izquierdo	ADJ	26	amod
28	.	PUNCT	3	punct