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:
Para asegurar la aprobación un comité de esa rama del Congreso agregó a la legislación un proyecto para crear un grupo de seguimiento de los derechos humanos en China.
Postion	Tokenization
1	Para
2	asegurar
3	la
4	aprobación
5	un
6	comité
7	de
8	esa
9	rama
10	del
11	Congreso
12	agregó
13	a
14	la
15	legislación
16	un
17	proyecto
18	para
19	crear
20	un
21	grupo
22	de
23	seguimiento
24	de
25	los
26	derechos
27	humanos
28	en
29	China
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	asegurar	VERB	12	advcl
3	la	DET	4	det
4	aprobación	NOUN	2	obj
5	un	DET	6	det
6	comité	NOUN	12	nsubj
7	de	ADP	9	case
8	esa	DET	9	det
9	rama	NOUN	6	nmod
10	del	ADP	11	case
11	Congreso	PROPN	9	nmod
12	agregó	VERB	0	root
13	a	ADP	15	case
14	la	DET	15	det
15	legislación	NOUN	12	obl
16	un	DET	17	det
17	proyecto	NOUN	12	obj
18	para	ADP	19	mark
19	crear	VERB	17	acl
20	un	DET	21	det
21	grupo	NOUN	19	obj
22	de	ADP	23	case
23	seguimiento	NOUN	21	nmod
24	de	ADP	26	case
25	los	DET	26	det
26	derechos	NOUN	23	nmod
27	humanos	ADJ	26	amod
28	en	ADP	29	case
29	China	PROPN	26	nmod
30	.	PUNCT	12	punct