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:
La propaganda de Milosevic no pudo encontrarle durante la campaña más que un punto "vulnerable": que convive con gatos, a lo que él respondía con una sonrisa que es el político ideal para gobernar Serbia, con sus albaneses y sus serbios a la greña, ya que ha conseguido que su perro y sus dos gatos se quieran y jueguen.
Postion	Tokenization
1	La
2	propaganda
3	de
4	Milosevic
5	no
6	pudo
7	encontrarle
8	encontrar
9	le
10	durante
11	la
12	campaña
13	más
14	que
15	un
16	punto
17	"
18	vulnerable
19	"
20	:
21	que
22	convive
23	con
24	gatos
25	,
26	a
27	lo
28	que
29	él
30	respondía
31	con
32	una
33	sonrisa
34	que
35	es
36	el
37	político
38	ideal
39	para
40	gobernar
41	Serbia
42	,
43	con
44	sus
45	albaneses
46	y
47	sus
48	serbios
49	a
50	la
51	greña
52	,
53	ya
54	que
55	ha
56	conseguido
57	que
58	su
59	perro
60	y
61	sus
62	dos
63	gatos
64	se
65	quieran
66	y
67	jueguen
68	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	propaganda	NOUN	7	nsubj
3	de	ADP	4	case
4	Milosevic	PROPN	2	nmod
5	no	ADV	7	advmod
6	pudo	AUX	7	aux
7	encontrarle	_	None	_
8	encontrar	VERB	0	root
9	le	PRON	7	obj
10	durante	ADP	11	case
11	la	DET	11	det
12	campaña	NOUN	7	obl
13	más	ADV	15	advmod
14	que	SCONJ	12	fixed
15	un	DET	15	det
16	punto	NOUN	7	obj
17	"	PUNCT	17	punct
18	vulnerable	ADJ	15	amod
19	"	PUNCT	17	punct
20	:	PUNCT	21	punct
21	que	SCONJ	21	mark
22	convive	VERB	15	acl
23	con	ADP	23	case
24	gatos	NOUN	21	obl
25	,	PUNCT	29	punct
26	a	ADP	29	mark
27	lo	PRON	29	det
28	que	PRON	29	obl
29	él	PRON	29	nsubj
30	respondía	VERB	15	advcl
31	con	ADP	32	case
32	una	DET	32	det
33	sonrisa	NOUN	29	obl
34	que	SCONJ	36	mark
35	es	AUX	36	cop
36	el	DET	36	det
37	político	NOUN	29	ccomp
38	ideal	ADJ	36	amod
39	para	ADP	39	mark
40	gobernar	VERB	36	acl
41	Serbia	PROPN	39	obj
42	,	PUNCT	44	punct
43	con	ADP	44	case
44	sus	DET	44	det
45	albaneses	NOUN	40	nmod
46	y	CCONJ	47	cc
47	sus	DET	47	det
48	serbios	NOUN	44	conj
49	a	ADP	50	case
50	la	DET	50	det
51	greña	NOUN	44	nmod
52	,	PUNCT	55	punct
53	ya	ADV	55	mark
54	que	SCONJ	52	fixed
55	ha	AUX	55	aux
56	conseguido	VERB	36	advcl
57	que	SCONJ	64	mark
58	su	DET	58	det
59	perro	NOUN	64	nsubj
60	y	CCONJ	62	cc
61	sus	DET	62	det
62	dos	NUM	60	nummod
63	gatos	NOUN	58	conj
64	se	PRON	64	obj
65	quieran	VERB	55	ccomp
66	y	CCONJ	66	cc
67	jueguen	VERB	64	conj
68	.	PUNCT	7	punct