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 nuevo presidente chileno, Ricardo Lagos, felicitó hoy a José María Aznar por el "nítido" resultado de las elecciones generales celebradas ayer, domingo, en España.
Postion	Tokenization
1	El
2	nuevo
3	presidente
4	chileno
5	,
6	Ricardo
7	Lagos
8	,
9	felicitó
10	hoy
11	a
12	José
13	María
14	Aznar
15	por
16	el
17	"
18	nítido
19	"
20	resultado
21	de
22	las
23	elecciones
24	generales
25	celebradas
26	ayer
27	,
28	domingo
29	,
30	en
31	España
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	nuevo	ADJ	3	amod
3	presidente	NOUN	9	nsubj
4	chileno	ADJ	3	amod
5	,	PUNCT	6	punct
6	Ricardo	PROPN	3	appos
7	Lagos	PROPN	6	flat
8	,	PUNCT	6	punct
9	felicitó	VERB	0	root
10	hoy	ADV	9	advmod
11	a	ADP	12	case
12	José	PROPN	9	obj
13	María	PROPN	12	flat
14	Aznar	PROPN	12	flat
15	por	ADP	20	case
16	el	DET	20	det
17	"	PUNCT	18	punct
18	nítido	ADJ	20	amod
19	"	PUNCT	18	punct
20	resultado	NOUN	9	obl
21	de	ADP	23	case
22	las	DET	23	det
23	elecciones	NOUN	20	nmod
24	generales	ADJ	23	amod
25	celebradas	ADJ	23	amod
26	ayer	ADV	25	advmod
27	,	PUNCT	28	punct
28	domingo	NOUN	26	obl
29	,	PUNCT	28	punct
30	en	ADP	31	case
31	España	PROPN	25	obl
32	.	PUNCT	9	punct