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:
Quizá no alcancen para sacar un diputado, pero por lo menos lo habrá intentado doña Ana, que ha dejado a los componentes de la lista electoral más animados de lo que estaban antes de la visita.
Postion	Tokenization
1	Quizá
2	no
3	alcancen
4	para
5	sacar
6	un
7	diputado
8	,
9	pero
10	por
11	lo
12	menos
13	lo
14	habrá
15	intentado
16	doña
17	Ana
18	,
19	que
20	ha
21	dejado
22	a
23	los
24	componentes
25	de
26	la
27	lista
28	electoral
29	más
30	animados
31	de
32	lo
33	que
34	estaban
35	antes
36	de
37	la
38	visita
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Quizá	ADV	3	advmod
2	no	ADV	3	advmod
3	alcancen	VERB	0	root
4	para	ADP	5	mark
5	sacar	VERB	3	advcl
6	un	DET	7	det
7	diputado	NOUN	5	obj
8	,	PUNCT	15	punct
9	pero	CCONJ	15	cc
10	por	ADP	15	advmod
11	lo	PRON	10	fixed
12	menos	ADV	10	fixed
13	lo	PRON	15	obj
14	habrá	AUX	15	aux
15	intentado	VERB	3	conj
16	doña	NOUN	15	nsubj
17	Ana	PROPN	16	flat
18	,	PUNCT	21	punct
19	que	PRON	21	nsubj
20	ha	AUX	21	aux
21	dejado	VERB	17	acl
22	a	ADP	24	case
23	los	DET	24	det
24	componentes	NOUN	21	iobj
25	de	ADP	27	case
26	la	DET	27	det
27	lista	NOUN	24	nmod
28	electoral	ADJ	27	amod
29	más	ADV	30	advmod
30	animados	ADJ	21	iobj
31	de	ADP	33	case
32	lo	PRON	33	det
33	que	PRON	21	ccomp
34	estaban	AUX	33	cop
35	antes	ADV	33	advmod
36	de	ADP	38	case
37	la	DET	38	det
38	visita	NOUN	35	obl
39	.	PUNCT	3	punct