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:
Lazzarini defendió la vigencia de la obra hoy, en un "momento tan difícil", ya que las palabras de Beckett dan aire para "seguir luchando" por la vida.
Postion	Tokenization
1	Lazzarini
2	defendió
3	la
4	vigencia
5	de
6	la
7	obra
8	hoy
9	,
10	en
11	un
12	"
13	momento
14	tan
15	difícil
16	"
17	,
18	ya
19	que
20	las
21	palabras
22	de
23	Beckett
24	dan
25	aire
26	para
27	"
28	seguir
29	luchando
30	"
31	por
32	la
33	vida
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Lazzarini	PROPN	2	nsubj
2	defendió	VERB	0	root
3	la	DET	4	det
4	vigencia	NOUN	2	obj
5	de	ADP	7	case
6	la	DET	7	det
7	obra	NOUN	4	nmod
8	hoy	ADV	2	advmod
9	,	PUNCT	13	punct
10	en	ADP	13	case
11	un	DET	13	det
12	"	PUNCT	13	punct
13	momento	NOUN	8	obl
14	tan	ADV	15	advmod
15	difícil	ADJ	13	amod
16	"	PUNCT	13	punct
17	,	PUNCT	13	punct
18	ya	ADV	24	mark
19	que	SCONJ	18	fixed
20	las	DET	21	det
21	palabras	NOUN	24	nsubj
22	de	ADP	23	case
23	Beckett	PROPN	21	nmod
24	dan	VERB	2	advcl
25	aire	NOUN	24	obj
26	para	ADP	28	mark
27	"	PUNCT	28	punct
28	seguir	VERB	24	advcl
29	luchando	VERB	28	xcomp
30	"	PUNCT	33	punct
31	por	ADP	33	case
32	la	DET	33	det
33	vida	NOUN	29	obj
34	.	PUNCT	2	punct