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:
Respecto a la situación actual, Fischer abogó por revisar la política de sanciones contra Serbia y se mostró partidario de suavizarlas con el fin de reforzar a la población civil y a la oposición.
Postion	Tokenization
1	Respecto
2	a
3	la
4	situación
5	actual
6	,
7	Fischer
8	abogó
9	por
10	revisar
11	la
12	política
13	de
14	sanciones
15	contra
16	Serbia
17	y
18	se
19	mostró
20	partidario
21	de
22	suavizarlas
23	suavizar
24	las
25	con
26	el
27	fin
28	de
29	reforzar
30	a
31	la
32	población
33	civil
34	y
35	a
36	la
37	oposición
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Respecto	NOUN	4	case
2	a	ADP	1	fixed
3	la	DET	4	det
4	situación	NOUN	8	obl
5	actual	ADJ	4	amod
6	,	PUNCT	4	punct
7	Fischer	PROPN	8	nsubj
8	abogó	VERB	0	root
9	por	ADP	10	mark
10	revisar	VERB	8	xcomp
11	la	DET	12	det
12	política	NOUN	10	obj
13	de	ADP	14	case
14	sanciones	NOUN	12	nmod
15	contra	ADP	16	case
16	Serbia	PROPN	14	nmod
17	y	CCONJ	19	cc
18	se	PRON	19	expl:pv
19	mostró	VERB	8	conj
20	partidario	ADJ	19	obj
21	de	ADP	22	mark
22	suavizarlas	_	None	_
23	suavizar	VERB	20	acl
24	las	PRON	22	obj
25	con	ADP	26	case
26	el	DET	26	det
27	fin	NOUN	22	obl
28	de	ADP	28	mark
29	reforzar	VERB	26	acl
30	a	ADP	31	case
31	la	DET	31	det
32	población	NOUN	28	obj
33	civil	ADJ	31	amod
34	y	CCONJ	36	cc
35	a	ADP	36	case
36	la	DET	36	det
37	oposición	NOUN	31	conj
38	.	PUNCT	8	punct