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:
Ese nombre de bandido generoso del bebé ha contagiado al papá, que no puede dejar de ser bandido para ganar la Vuelta, pero que se muestra generoso para ganar amigos.
Postion	Tokenization
1	Ese
2	nombre
3	de
4	bandido
5	generoso
6	del
7	bebé
8	ha
9	contagiado
10	al
11	papá
12	,
13	que
14	no
15	puede
16	dejar
17	de
18	ser
19	bandido
20	para
21	ganar
22	la
23	Vuelta
24	,
25	pero
26	que
27	se
28	muestra
29	generoso
30	para
31	ganar
32	amigos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ese	DET	2	det
2	nombre	NOUN	9	nsubj
3	de	ADP	4	case
4	bandido	NOUN	2	nmod
5	generoso	ADJ	4	amod
6	del	ADP	7	case
7	bebé	NOUN	2	nmod
8	ha	AUX	9	aux
9	contagiado	VERB	0	root
10	al	ADP	11	case
11	papá	NOUN	9	obj
12	,	PUNCT	16	punct
13	que	PRON	16	nsubj
14	no	ADV	16	advmod
15	puede	AUX	16	aux
16	dejar	VERB	11	acl
17	de	ADP	19	case
18	ser	AUX	19	cop
19	bandido	NOUN	16	xcomp
20	para	ADP	21	mark
21	ganar	VERB	19	advcl
22	la	DET	23	det
23	Vuelta	PROPN	21	obj
24	,	PUNCT	28	punct
25	pero	CCONJ	28	cc
26	que	PRON	28	nsubj
27	se	PRON	28	expl:pv
28	muestra	VERB	16	conj
29	generoso	ADJ	28	obj
30	para	ADP	31	mark
31	ganar	VERB	28	advcl
32	amigos	NOUN	31	obj
33	.	PUNCT	9	punct