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:
"Estoy aquí en un país libre y mis hijos crecen en un país libre gracias a lo que ustedes hicieron", añadió el primer ministro en el emotivo acto ante los ex combatientes.
Postion	Tokenization
1	"
2	Estoy
3	aquí
4	en
5	un
6	país
7	libre
8	y
9	mis
10	hijos
11	crecen
12	en
13	un
14	país
15	libre
16	gracias
17	a
18	lo
19	que
20	ustedes
21	hicieron
22	"
23	,
24	añadió
25	el
26	primer
27	ministro
28	en
29	el
30	emotivo
31	acto
32	ante
33	los
34	ex
35	combatientes
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Estoy	VERB	24	ccomp
3	aquí	ADV	2	advmod
4	en	ADP	6	case
5	un	DET	6	det
6	país	NOUN	3	obl
7	libre	ADJ	6	amod
8	y	CCONJ	11	cc
9	mis	DET	10	det
10	hijos	NOUN	11	nsubj
11	crecen	VERB	2	conj
12	en	ADP	14	case
13	un	DET	14	det
14	país	NOUN	11	obl
15	libre	ADJ	14	amod
16	gracias	NOUN	21	mark
17	a	ADP	16	fixed
18	lo	PRON	21	det
19	que	PRON	21	obj
20	ustedes	PRON	21	nsubj
21	hicieron	VERB	2	advcl
22	"	PUNCT	2	punct
23	,	PUNCT	2	punct
24	añadió	VERB	0	root
25	el	DET	27	det
26	primer	ADJ	27	amod
27	ministro	NOUN	24	nsubj
28	en	ADP	31	case
29	el	DET	31	det
30	emotivo	ADJ	31	amod
31	acto	NOUN	24	obl
32	ante	ADP	35	case
33	los	DET	35	det
34	ex	ADJ	35	amod
35	combatientes	NOUN	31	nmod
36	.	PUNCT	24	punct