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:
Lagos añadió que "he venido a darles las gracias en nombre de Chile porque ustedes están colaborando para crear un país independiente".
Postion	Tokenization
1	Lagos
2	añadió
3	que
4	"
5	he
6	venido
7	a
8	darles
9	dar
10	les
11	las
12	gracias
13	en
14	nombre
15	de
16	Chile
17	porque
18	ustedes
19	están
20	colaborando
21	para
22	crear
23	un
24	país
25	independiente
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Lagos	PROPN	2	nsubj
2	añadió	VERB	0	root
3	que	SCONJ	6	mark
4	"	PUNCT	6	punct
5	he	AUX	6	aux
6	venido	VERB	2	ccomp
7	a	ADP	8	mark
8	darles	_	None	_
9	dar	VERB	6	advcl
10	les	PRON	8	obj
11	las	DET	11	det
12	gracias	NOUN	8	obj
13	en	ADP	15	case
14	nombre	NOUN	12	fixed
15	de	ADP	12	fixed
16	Chile	PROPN	8	obl
17	porque	SCONJ	19	mark
18	ustedes	PRON	19	nsubj
19	están	AUX	19	aux
20	colaborando	VERB	6	advcl
21	para	ADP	21	mark
22	crear	VERB	19	advcl
23	un	DET	23	det
24	país	NOUN	21	obj
25	independiente	ADJ	23	amod
26	"	PUNCT	6	punct
27	.	PUNCT	2	punct