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:
"Obviamente tiene una gran experiencia", dijo Philippoussis sobre su verdugo, "con 29 años está jugando el mejor tenis de su vida, es algo increíble.
Postion	Tokenization
1	"
2	Obviamente
3	tiene
4	una
5	gran
6	experiencia
7	"
8	,
9	dijo
10	Philippoussis
11	sobre
12	su
13	verdugo
14	,
15	"
16	con
17	29
18	años
19	está
20	jugando
21	el
22	mejor
23	tenis
24	de
25	su
26	vida
27	,
28	es
29	algo
30	increíble
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Obviamente	ADV	3	advmod
3	tiene	VERB	0	root
4	una	DET	6	det
5	gran	ADJ	6	amod
6	experiencia	NOUN	3	obj
7	"	PUNCT	3	punct
8	,	PUNCT	9	punct
9	dijo	VERB	3	parataxis
10	Philippoussis	PROPN	9	nsubj
11	sobre	ADP	13	case
12	su	DET	13	det
13	verdugo	NOUN	9	obl
14	,	PUNCT	9	punct
15	"	PUNCT	20	punct
16	con	ADP	18	case
17	29	NUM	18	nummod
18	años	NOUN	20	obl
19	está	AUX	20	aux
20	jugando	VERB	3	advcl
21	el	DET	23	det
22	mejor	ADJ	23	amod
23	tenis	NOUN	20	obj
24	de	ADP	26	case
25	su	DET	26	det
26	vida	NOUN	23	nmod
27	,	PUNCT	20	punct
28	es	AUX	29	cop
29	algo	PRON	20	advcl
30	increíble	ADJ	29	amod
31	.	PUNCT	3	punct