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:
"Bueno, siguen siendo tan conservadores como siempre, pero esta película les ha entrado bien y se han vuelto locos por ella".
Postion	Tokenization
1	"
2	Bueno
3	,
4	siguen
5	siendo
6	tan
7	conservadores
8	como
9	siempre
10	,
11	pero
12	esta
13	película
14	les
15	ha
16	entrado
17	bien
18	y
19	se
20	han
21	vuelto
22	locos
23	por
24	ella
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Bueno	ADV	4	advmod
3	,	PUNCT	2	punct
4	siguen	VERB	0	root
5	siendo	AUX	7	cop
6	tan	ADV	4	advmod
7	conservadores	ADJ	4	xcomp
8	como	SCONJ	9	mark
9	siempre	ADV	4	advmod
10	,	PUNCT	16	punct
11	pero	CCONJ	16	cc
12	esta	DET	13	det
13	película	NOUN	16	nsubj
14	les	PRON	16	obj
15	ha	AUX	16	aux
16	entrado	VERB	7	conj
17	bien	ADV	16	advmod
18	y	CCONJ	21	cc
19	se	PRON	21	expl:pv
20	han	AUX	21	aux
21	vuelto	VERB	16	conj
22	locos	ADJ	21	obj
23	por	ADP	24	case
24	ella	PRON	21	obl
25	"	PUNCT	4	punct
26	.	PUNCT	4	punct