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 Feyenoord alcanzó el liderato del Grupo D tras dar la sorpresa en el campo del Lazio, que se había adelantado en el marcador con un gol de Verón (m. 37).
Postion	Tokenization
1	El
2	Feyenoord
3	alcanzó
4	el
5	liderato
6	del
7	Grupo
8	D
9	tras
10	dar
11	la
12	sorpresa
13	en
14	el
15	campo
16	del
17	Lazio
18	,
19	que
20	se
21	había
22	adelantado
23	en
24	el
25	marcador
26	con
27	un
28	gol
29	de
30	Verón
31	(
32	m
33	.
34	37
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Feyenoord	PROPN	3	nsubj
3	alcanzó	VERB	0	root
4	el	DET	5	det
5	liderato	NOUN	3	obj
6	del	ADP	7	case
7	Grupo	PROPN	5	nmod
8	D	PROPN	7	flat
9	tras	ADP	10	mark
10	dar	VERB	3	advcl
11	la	DET	12	det
12	sorpresa	NOUN	10	obj
13	en	ADP	15	case
14	el	DET	15	det
15	campo	NOUN	10	obl
16	del	ADP	17	case
17	Lazio	PROPN	15	nmod
18	,	PUNCT	22	punct
19	que	PRON	22	nsubj
20	se	PRON	22	expl:pv
21	había	AUX	22	aux
22	adelantado	VERB	17	acl
23	en	ADP	25	case
24	el	DET	25	det
25	marcador	NOUN	22	obl
26	con	ADP	28	case
27	un	DET	28	det
28	gol	NOUN	22	obl
29	de	ADP	30	case
30	Verón	PROPN	28	nmod
31	(	PUNCT	32	punct
32	m	NOUN	28	appos
33	.	PUNCT	32	punct
34	37	NUM	32	compound
35	)	PUNCT	32	punct
36	.	PUNCT	3	punct