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:
Cuando estrechaban las manos, la diputada Esquerra Republicana de Cataluña (ERC) comentó al nacionalista vasco que incluso el portavoz del Grupo Catalán, Miquel Roca, la había llamado para solidarizarse con ella.
Postion	Tokenization
1	Cuando
2	estrechaban
3	las
4	manos
5	,
6	la
7	diputada
8	Esquerra
9	Republicana
10	de
11	Cataluña
12	(
13	ERC
14	)
15	comentó
16	al
17	nacionalista
18	vasco
19	que
20	incluso
21	el
22	portavoz
23	del
24	Grupo
25	Catalán
26	,
27	Miquel
28	Roca
29	,
30	la
31	había
32	llamado
33	para
34	solidarizarse
35	solidarizar
36	se
37	con
38	ella
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuando	SCONJ	2	mark
2	estrechaban	VERB	15	advcl
3	las	DET	4	det
4	manos	NOUN	2	obj
5	,	PUNCT	2	punct
6	la	DET	7	det
7	diputada	NOUN	15	nsubj
8	Esquerra	PROPN	7	nmod
9	Republicana	PROPN	8	flat
10	de	ADP	11	case
11	Cataluña	PROPN	8	flat
12	(	PUNCT	13	punct
13	ERC	PROPN	7	appos
14	)	PUNCT	13	punct
15	comentó	VERB	0	root
16	al	ADP	17	case
17	nacionalista	NOUN	15	iobj
18	vasco	ADJ	17	amod
19	que	SCONJ	32	mark
20	incluso	ADV	32	advmod
21	el	DET	22	det
22	portavoz	NOUN	32	nsubj
23	del	ADP	24	case
24	Grupo	PROPN	22	nmod
25	Catalán	PROPN	24	flat
26	,	PUNCT	27	punct
27	Miquel	PROPN	22	appos
28	Roca	PROPN	27	flat
29	,	PUNCT	27	punct
30	la	PRON	32	obj
31	había	AUX	32	aux
32	llamado	VERB	15	ccomp
33	para	ADP	34	mark
34	solidarizarse	_	None	_
35	solidarizar	VERB	32	advcl
36	se	PRON	34	obj
37	con	ADP	37	case
38	ella	PRON	34	obl
39	.	PUNCT	15	punct