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:
El portavoz de política exterior del grupo parlamentario cristianodemócrata, Karl Lamers, dijo que entre los pueblos que habitan Kosovo había surgido tal odio que hacía necesaria su separación.
Postion	Tokenization
1	El
2	portavoz
3	de
4	política
5	exterior
6	del
7	grupo
8	parlamentario
9	cristianodemócrata
10	,
11	Karl
12	Lamers
13	,
14	dijo
15	que
16	entre
17	los
18	pueblos
19	que
20	habitan
21	Kosovo
22	había
23	surgido
24	tal
25	odio
26	que
27	hacía
28	necesaria
29	su
30	separación
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	14	nsubj
3	de	ADP	4	case
4	política	NOUN	2	nmod
5	exterior	ADJ	4	amod
6	del	ADP	7	case
7	grupo	NOUN	2	nmod
8	parlamentario	ADJ	7	amod
9	cristianodemócrata	ADJ	7	amod
10	,	PUNCT	11	punct
11	Karl	PROPN	2	appos
12	Lamers	PROPN	11	flat
13	,	PUNCT	11	punct
14	dijo	VERB	0	root
15	que	SCONJ	23	mark
16	entre	ADP	18	case
17	los	DET	18	det
18	pueblos	NOUN	23	obl
19	que	PRON	20	nsubj
20	habitan	VERB	18	acl
21	Kosovo	PROPN	20	obj
22	había	AUX	23	aux
23	surgido	VERB	14	ccomp
24	tal	DET	25	det
25	odio	NOUN	23	nsubj
26	que	SCONJ	27	mark
27	hacía	VERB	25	acl
28	necesaria	ADJ	27	obj
29	su	DET	30	det
30	separación	NOUN	27	obj
31	.	PUNCT	14	punct