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:
Los catalanes dominaron en las disciplinas alpinas, con Núria Moga y Jordi Font como grandes triunfadores, mientras que los vascos lo hicieron en half pipe con Agurtxane Otegui e Iker Fernández.
Postion	Tokenization
1	Los
2	catalanes
3	dominaron
4	en
5	las
6	disciplinas
7	alpinas
8	,
9	con
10	Núria
11	Moga
12	y
13	Jordi
14	Font
15	como
16	grandes
17	triunfadores
18	,
19	mientras
20	que
21	los
22	vascos
23	lo
24	hicieron
25	en
26	half
27	pipe
28	con
29	Agurtxane
30	Otegui
31	e
32	Iker
33	Fernández
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	catalanes	NOUN	3	nsubj
3	dominaron	VERB	19	parataxis
4	en	ADP	6	case
5	las	DET	6	det
6	disciplinas	NOUN	3	obl
7	alpinas	ADJ	6	amod
8	,	PUNCT	10	punct
9	con	ADP	10	case
10	Núria	PROPN	3	obl
11	Moga	PROPN	10	flat
12	y	CCONJ	13	cc
13	Jordi	PROPN	10	conj
14	Font	PROPN	13	flat
15	como	SCONJ	17	mark
16	grandes	ADJ	17	amod
17	triunfadores	NOUN	10	nmod
18	,	PUNCT	10	punct
19	mientras	CCONJ	0	root
20	que	SCONJ	19	fixed
21	los	DET	22	det
22	vascos	NOUN	24	nsubj
23	lo	PRON	24	obj
24	hicieron	VERB	19	parataxis
25	en	ADP	26	case
26	half	NOUN	24	obl
27	pipe	NOUN	26	compound
28	con	ADP	29	case
29	Agurtxane	PROPN	24	obl
30	Otegui	PROPN	29	flat
31	e	CCONJ	32	cc
32	Iker	PROPN	29	conj
33	Fernández	PROPN	32	flat
34	.	PUNCT	19	punct