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:
Más de la mitad de los 100 senadores han dicho que votarán en favor del proyecto que garantizará a los productos chinos los mismos gravámenes que se aplican a los de otros países.
Postion	Tokenization
1	Más
2	de
3	la
4	mitad
5	de
6	los
7	100
8	senadores
9	han
10	dicho
11	que
12	votarán
13	en
14	favor
15	del
16	proyecto
17	que
18	garantizará
19	a
20	los
21	productos
22	chinos
23	los
24	mismos
25	gravámenes
26	que
27	se
28	aplican
29	a
30	los
31	de
32	otros
33	países
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	3	advmod
2	de	ADP	1	fixed
3	la	DET	4	det
4	mitad	NOUN	10	nsubj
5	de	ADP	8	case
6	los	DET	7	det
7	100	NUM	8	nummod
8	senadores	NOUN	4	nmod
9	han	AUX	10	aux
10	dicho	VERB	0	root
11	que	SCONJ	12	mark
12	votarán	VERB	10	ccomp
13	en	ADP	16	case
14	favor	NOUN	13	fixed
15	del	ADP	13	fixed
16	proyecto	NOUN	12	obl
17	que	PRON	18	nsubj
18	garantizará	VERB	16	acl
19	a	ADP	21	case
20	los	DET	21	det
21	productos	NOUN	18	obj
22	chinos	ADJ	21	amod
23	los	DET	25	det
24	mismos	DET	23	det
25	gravámenes	NOUN	18	obj
26	que	PRON	28	nsubj
27	se	PRON	28	expl:pass
28	aplican	VERB	25	acl
29	a	ADP	30	case
30	los	DET	28	det
31	de	ADP	30	case
32	otros	DET	33	det
33	países	NOUN	30	obj
34	.	PUNCT	10	punct