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:
En eso se parece al Duque de Alba, aquel guerrero que antes de dar nombre al coñac, en la marcha hacia Bruselas fue cortando cabezas y cuando llegó a Flandes colgó a los primeros abertzales del imperio del Sol.
Postion	Tokenization
1	En
2	eso
3	se
4	parece
5	al
6	Duque
7	de
8	Alba
9	,
10	aquel
11	guerrero
12	que
13	antes
14	de
15	dar
16	nombre
17	al
18	coñac
19	,
20	en
21	la
22	marcha
23	hacia
24	Bruselas
25	fue
26	cortando
27	cabezas
28	y
29	cuando
30	llegó
31	a
32	Flandes
33	colgó
34	a
35	los
36	primeros
37	abertzales
38	del
39	imperio
40	del
41	Sol
42	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	eso	PRON	4	obl
3	se	PRON	4	expl:pv
4	parece	VERB	0	root
5	al	ADP	6	case
6	Duque	PROPN	4	obj
7	de	ADP	8	case
8	Alba	PROPN	6	flat
9	,	PUNCT	11	punct
10	aquel	DET	11	det
11	guerrero	NOUN	6	appos
12	que	PRON	26	nsubj
13	antes	ADV	26	advmod
14	de	ADP	15	mark
15	dar	VERB	13	advcl
16	nombre	NOUN	15	obj
17	al	ADP	18	case
18	coñac	NOUN	15	obj
19	,	PUNCT	22	punct
20	en	ADP	22	case
21	la	DET	22	det
22	marcha	NOUN	26	obl
23	hacia	ADP	24	case
24	Bruselas	PROPN	22	nmod
25	fue	AUX	26	aux
26	cortando	VERB	11	acl
27	cabezas	NOUN	26	obj
28	y	CCONJ	33	cc
29	cuando	SCONJ	30	mark
30	llegó	VERB	33	advcl
31	a	ADP	32	case
32	Flandes	PROPN	30	obl
33	colgó	VERB	26	conj
34	a	ADP	37	case
35	los	DET	37	det
36	primeros	ADJ	37	amod
37	abertzales	NOUN	33	obj
38	del	ADP	39	case
39	imperio	NOUN	37	nmod
40	del	ADP	41	case
41	Sol	PROPN	39	nmod
42	.	PUNCT	4	punct