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 empate conseguido en Valencia nos ha dado más moral y además contaremos con la afición, que está deseando que hagamos un gran partido y que seguro que nos apoyará desde el comienzo ", finalizó Roberto Carlos.
Postion	Tokenization
1	El
2	empate
3	conseguido
4	en
5	Valencia
6	nos
7	ha
8	dado
9	más
10	moral
11	y
12	además
13	contaremos
14	con
15	la
16	afición
17	,
18	que
19	está
20	deseando
21	que
22	hagamos
23	un
24	gran
25	partido
26	y
27	que
28	seguro
29	que
30	nos
31	apoyará
32	desde
33	el
34	comienzo
35	"
36	,
37	finalizó
38	Roberto
39	Carlos
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	empate	NOUN	8	nsubj
3	conseguido	ADJ	2	amod
4	en	ADP	5	case
5	Valencia	PROPN	3	obl
6	nos	PRON	8	iobj
7	ha	AUX	8	aux
8	dado	VERB	37	ccomp
9	más	ADV	10	advmod
10	moral	NOUN	8	obj
11	y	CCONJ	13	cc
12	además	ADV	13	advmod
13	contaremos	VERB	8	conj
14	con	ADP	16	case
15	la	DET	16	det
16	afición	NOUN	13	obj
17	,	PUNCT	20	punct
18	que	PRON	20	nsubj
19	está	AUX	20	aux
20	deseando	VERB	16	acl
21	que	SCONJ	22	mark
22	hagamos	VERB	20	ccomp
23	un	DET	25	det
24	gran	ADJ	25	amod
25	partido	NOUN	22	obj
26	y	CCONJ	31	cc
27	que	PRON	31	nsubj
28	seguro	ADV	31	advmod
29	que	SCONJ	28	mark
30	nos	PRON	31	obj
31	apoyará	VERB	20	conj
32	desde	ADP	34	case
33	el	DET	34	det
34	comienzo	NOUN	31	obl
35	"	PUNCT	8	punct
36	,	PUNCT	8	punct
37	finalizó	VERB	0	root
38	Roberto	PROPN	37	nsubj
39	Carlos	PROPN	38	flat
40	.	PUNCT	37	punct