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:
Italia llegó a ir por delante en el marcador, pero duró poco y no pudo hacer nada para que el equipo más en forma del torneo le endosase su tercera derrota consecutiva en su llegada a este mítico campeonato.
Postion	Tokenization
1	Italia
2	llegó
3	a
4	ir
5	por
6	delante
7	en
8	el
9	marcador
10	,
11	pero
12	duró
13	poco
14	y
15	no
16	pudo
17	hacer
18	nada
19	para
20	que
21	el
22	equipo
23	más
24	en
25	forma
26	del
27	torneo
28	le
29	endosase
30	su
31	tercera
32	derrota
33	consecutiva
34	en
35	su
36	llegada
37	a
38	este
39	mítico
40	campeonato
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Italia	PROPN	2	nsubj
2	llegó	VERB	0	root
3	a	ADP	4	mark
4	ir	VERB	2	xcomp
5	por	ADP	6	case
6	delante	ADV	2	advmod
7	en	ADP	9	case
8	el	DET	9	det
9	marcador	NOUN	2	obl
10	,	PUNCT	12	punct
11	pero	CCONJ	12	cc
12	duró	VERB	4	conj
13	poco	ADV	12	obj
14	y	CCONJ	17	cc
15	no	ADV	17	advmod
16	pudo	AUX	17	aux
17	hacer	VERB	12	conj
18	nada	PRON	17	obj
19	para	ADP	29	mark
20	que	SCONJ	29	mark
21	el	DET	22	det
22	equipo	NOUN	29	nsubj
23	más	ADV	22	advmod
24	en	ADP	23	case
25	forma	NOUN	23	nmod
26	del	ADP	27	case
27	torneo	NOUN	22	nmod
28	le	PRON	29	obj
29	endosase	VERB	17	advcl
30	su	DET	32	det
31	tercera	ADJ	32	amod
32	derrota	NOUN	29	obj
33	consecutiva	ADJ	32	amod
34	en	ADP	36	case
35	su	DET	36	det
36	llegada	NOUN	29	obl
37	a	ADP	40	case
38	este	DET	40	det
39	mítico	ADJ	40	amod
40	campeonato	NOUN	36	nmod
41	.	PUNCT	2	punct