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:
La enmienda, que fue rechazada en la Cámara de Representantes por 265 votos contra 162, pone en jaque numerosas y prometedoras investigaciones médicas, algunas de las cuales ya están en curso.
Postion	Tokenization
1	La
2	enmienda
3	,
4	que
5	fue
6	rechazada
7	en
8	la
9	Cámara
10	de
11	Representantes
12	por
13	265
14	votos
15	contra
16	162
17	,
18	pone
19	en
20	jaque
21	numerosas
22	y
23	prometedoras
24	investigaciones
25	médicas
26	,
27	algunas
28	de
29	las
30	cuales
31	ya
32	están
33	en
34	curso
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	enmienda	NOUN	18	nsubj
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	fue	AUX	6	aux
6	rechazada	VERB	2	acl
7	en	ADP	9	case
8	la	DET	9	det
9	Cámara	PROPN	6	obl
10	de	ADP	11	case
11	Representantes	PROPN	9	flat
12	por	ADP	14	case
13	265	NUM	14	nummod
14	votos	NOUN	6	obl
15	contra	ADP	16	case
16	162	NUM	14	nummod
17	,	PUNCT	6	punct
18	pone	VERB	0	root
19	en	ADP	20	case
20	jaque	NOUN	18	obl
21	numerosas	ADJ	24	amod
22	y	CCONJ	23	cc
23	prometedoras	ADJ	21	conj
24	investigaciones	NOUN	18	obj
25	médicas	ADJ	24	amod
26	,	PUNCT	34	punct
27	algunas	PRON	34	nsubj
28	de	ADP	30	case
29	las	DET	30	det
30	cuales	PRON	27	nmod
31	ya	ADV	34	advmod
32	están	AUX	34	cop
33	en	ADP	34	case
34	curso	NOUN	24	acl
35	.	PUNCT	18	punct