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:
Yo sabía que quería hacer algún movimiento, distanciarse un poco de su partido y nosotros (PSE-PSOE) le pusimos un cierto camino para que él se desmarcara".
Postion	Tokenization
1	Yo
2	sabía
3	que
4	quería
5	hacer
6	algún
7	movimiento
8	,
9	distanciarse
10	distanciar
11	se
12	un
13	poco
14	de
15	su
16	partido
17	y
18	nosotros
19	(
20	PSE-PSOE
21	)
22	le
23	pusimos
24	un
25	cierto
26	camino
27	para
28	que
29	él
30	se
31	desmarcara
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Yo	PRON	2	nsubj
2	sabía	VERB	0	root
3	que	SCONJ	4	mark
4	quería	VERB	2	ccomp
5	hacer	VERB	4	xcomp
6	algún	DET	7	det
7	movimiento	NOUN	5	obj
8	,	PUNCT	5	punct
9	distanciarse	_	None	_
10	distanciar	VERB	5	advcl
11	se	PRON	9	obj
12	un	DET	9	advmod
13	poco	ADV	11	fixed
14	de	ADP	15	case
15	su	DET	15	det
16	partido	NOUN	9	obj
17	y	CCONJ	22	cc
18	nosotros	PRON	22	nsubj
19	(	PUNCT	19	punct
20	PSE-PSOE	PROPN	17	appos
21	)	PUNCT	19	punct
22	le	PRON	22	obj
23	pusimos	VERB	2	conj
24	un	DET	25	det
25	cierto	ADJ	25	amod
26	camino	NOUN	22	obj
27	para	ADP	30	mark
28	que	SCONJ	30	mark
29	él	PRON	30	nsubj
30	se	PRON	30	expl:pv
31	desmarcara	VERB	22	advcl
32	"	PUNCT	2	punct
33	.	PUNCT	2	punct