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:
Ni siquiera este año, que las pistas han sido cambiadas y la velocidad se ha multiplicado vertiginosamente hasta convertirlas en cristal, como señaló Sampras, Philippoussis podrá llevarse el trofeo.
Postion	Tokenization
1	Ni
2	siquiera
3	este
4	año
5	,
6	que
7	las
8	pistas
9	han
10	sido
11	cambiadas
12	y
13	la
14	velocidad
15	se
16	ha
17	multiplicado
18	vertiginosamente
19	hasta
20	convertirlas
21	convertir
22	las
23	en
24	cristal
25	,
26	como
27	señaló
28	Sampras
29	,
30	Philippoussis
31	podrá
32	llevarse
33	llevar
34	se
35	el
36	trofeo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Ni	CCONJ	4	advmod
2	siquiera	NOUN	1	fixed
3	este	DET	4	det
4	año	NOUN	31	obl
5	,	PUNCT	11	punct
6	que	PRON	11	obl
7	las	DET	8	det
8	pistas	NOUN	11	nsubj
9	han	AUX	11	aux
10	sido	AUX	11	aux
11	cambiadas	VERB	4	acl
12	y	CCONJ	17	cc
13	la	DET	14	det
14	velocidad	NOUN	17	nsubj
15	se	PRON	17	expl:pv
16	ha	AUX	17	aux
17	multiplicado	VERB	11	conj
18	vertiginosamente	ADV	17	advmod
19	hasta	ADP	20	mark
20	convertirlas	_	None	_
21	convertir	VERB	17	advcl
22	las	PRON	20	obj
23	en	ADP	23	case
24	cristal	NOUN	20	obj
25	,	PUNCT	4	punct
26	como	SCONJ	26	mark
27	señaló	VERB	31	advcl
28	Sampras	PROPN	26	nsubj
29	,	PUNCT	26	punct
30	Philippoussis	PROPN	31	nsubj
31	podrá	AUX	31	aux
32	llevarse	_	None	_
33	llevar	VERB	0	root
34	se	PRON	31	iobj
35	el	DET	34	det
36	trofeo	NOUN	31	obj
37	.	PUNCT	31	punct