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 oposición cristianodemócrata cosechó hoy duras críticas de los partidos de la coalición gubernamental, socialdemócratas y verdes, al abogar abiertamente por una división de Kosovo.
Postion	Tokenization
1	La
2	oposición
3	cristianodemócrata
4	cosechó
5	hoy
6	duras
7	críticas
8	de
9	los
10	partidos
11	de
12	la
13	coalición
14	gubernamental
15	,
16	socialdemócratas
17	y
18	verdes
19	,
20	al
21	abogar
22	abiertamente
23	por
24	una
25	división
26	de
27	Kosovo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	oposición	NOUN	4	nsubj
3	cristianodemócrata	ADJ	2	amod
4	cosechó	VERB	0	root
5	hoy	ADV	4	advmod
6	duras	ADJ	7	amod
7	críticas	NOUN	4	obj
8	de	ADP	10	case
9	los	DET	10	det
10	partidos	NOUN	7	nmod
11	de	ADP	13	case
12	la	DET	13	det
13	coalición	NOUN	16	nmod
14	gubernamental	ADJ	13	amod
15	,	PUNCT	16	punct
16	socialdemócratas	ADJ	10	amod
17	y	CCONJ	18	cc
18	verdes	ADJ	16	conj
19	,	PUNCT	21	punct
20	al	ADP	21	mark
21	abogar	VERB	4	advcl
22	abiertamente	ADV	21	advmod
23	por	ADP	25	case
24	una	DET	25	det
25	división	NOUN	21	obj
26	de	ADP	27	case
27	Kosovo	PROPN	25	nmod
28	.	PUNCT	4	punct