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:
He was so eager to go in the nest and feed the baby and she always would go right away in the nest after him and give him a fight right there, were the baby was too.
Postion	Tokenization
1	He
2	was
3	so
4	eager
5	to
6	go
7	in
8	the
9	nest
10	and
11	feed
12	the
13	baby
14	and
15	she
16	always
17	would
18	go
19	right
20	away
21	in
22	the
23	nest
24	after
25	him
26	and
27	give
28	him
29	a
30	fight
31	right
32	there
33	,
34	were
35	the
36	baby
37	was
38	too
39	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	4	nsubj
2	was	AUX	4	cop
3	so	ADV	4	advmod
4	eager	ADJ	0	root
5	to	PART	6	mark
6	go	VERB	4	xcomp
7	in	ADP	9	case
8	the	DET	9	det
9	nest	NOUN	6	obl
10	and	CCONJ	11	cc
11	feed	VERB	6	conj
12	the	DET	13	det
13	baby	NOUN	11	obj
14	and	CCONJ	18	cc
15	she	PRON	18	nsubj
16	always	ADV	18	advmod
17	would	AUX	18	aux
18	go	VERB	4	conj
19	right	ADV	20	advmod
20	away	ADV	18	advmod
21	in	ADP	23	case
22	the	DET	23	det
23	nest	NOUN	18	obl
24	after	ADP	25	case
25	him	PRON	18	obl
26	and	CCONJ	27	cc
27	give	VERB	18	conj
28	him	PRON	27	iobj
29	a	DET	30	det
30	fight	NOUN	27	obj
31	right	ADV	32	advmod
32	there	ADV	27	advmod
33	,	PUNCT	32	punct
34	were	ADV	37	advmod
35	the	DET	36	det
36	baby	NOUN	37	nsubj
37	was	VERB	32	appos
38	too	ADV	37	advmod
39	.	PUNCT	4	punct