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 política impone muchos sacrificios y para doña Ana seguramente lo ha sido su breve estancia entre gente tan rara, que no vota al PP y que no quiere que su marido sea presidente del Gobierno.
Postion	Tokenization
1	La
2	política
3	impone
4	muchos
5	sacrificios
6	y
7	para
8	doña
9	Ana
10	seguramente
11	lo
12	ha
13	sido
14	su
15	breve
16	estancia
17	entre
18	gente
19	tan
20	rara
21	,
22	que
23	no
24	vota
25	al
26	PP
27	y
28	que
29	no
30	quiere
31	que
32	su
33	marido
34	sea
35	presidente
36	del
37	Gobierno
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	política	NOUN	3	nsubj
3	impone	VERB	0	root
4	muchos	DET	5	det
5	sacrificios	NOUN	3	obj
6	y	CCONJ	11	cc
7	para	ADP	9	case
8	doña	NOUN	11	obl
9	Ana	PROPN	8	flat
10	seguramente	ADV	11	advmod
11	lo	PRON	3	conj
12	ha	AUX	11	aux
13	sido	AUX	11	cop
14	su	DET	16	det
15	breve	ADJ	16	amod
16	estancia	NOUN	11	nsubj
17	entre	ADP	18	case
18	gente	NOUN	16	nmod
19	tan	ADV	20	advmod
20	rara	ADJ	18	amod
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	no	ADV	24	advmod
24	vota	VERB	18	acl
25	al	ADP	26	case
26	PP	PROPN	24	obj
27	y	CCONJ	30	cc
28	que	PRON	30	nsubj
29	no	ADV	30	advmod
30	quiere	VERB	24	conj
31	que	SCONJ	35	mark
32	su	DET	33	det
33	marido	NOUN	35	nsubj
34	sea	AUX	35	cop
35	presidente	NOUN	30	ccomp
36	del	ADP	37	case
37	Gobierno	PROPN	35	nmod
38	.	PUNCT	3	punct